All the Hard Stuff Nobody Talks About when Building Products with LLMs

Building products with large language models (LLMs) comes with significant challenges. In this blog post, the author shares the real-world difficulties faced when developing Honeycomb's Query Assistant, an AI-powered natural language querying interface. Key issues include:

Constraints around LLM context windows and schema size
Slow LLM performance and limitations of chaining LLM calls
Complexities of prompt engineering and balancing correctness with usefulness
Addressing legal and compliance requirements for integrating LLMs

Read now to learn more.

Vendor:: Honeycomb
Posted:: Sep 17, 2024
Published:: Sep 17, 2024
Format:: HTML
Type:: Blog

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